{"id":"W2058416774","doi":"10.1145/633292.633377","title":"Role of memory in email management","year":2000,"lang":"en","type":"article","venue":"","topic":"Personal Information Management and User Behavior","field":"Decision Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Focus (optics); Work (physics); Interface (matter); Memory management; Human–computer interaction; World Wide Web; Data science; Knowledge management; Engineering; Semiconductor memory","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003769487,0.0005854605,0.0005038014,0.00136613,0.002320979,0.00799056,0.001767005,0.001983805,0.006696638],"category_scores_gemma":[0.02788181,0.000413458,0.0003148546,0.001055636,0.003403612,0.01076448,0.003222601,0.001752147,0.001289226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00102014,"about_ca_system_score_gemma":0.001723909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002093641,"about_ca_topic_score_gemma":0.001643219,"domain_scores_codex":[0.9960503,0.002259751,0.0002662642,0.0004152323,0.0005815211,0.0004270041],"domain_scores_gemma":[0.9827612,0.0111835,0.001687474,0.001745712,0.00161152,0.001010456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008547147,0.0004743074,0.01915845,0.001596644,0.0001008276,0.000794852,0.02291068,0.003422961,0.006825173,0.257036,0.01027585,0.6765495],"study_design_scores_gemma":[0.0002913933,0.002003114,0.02850126,0.00247035,0.0006991802,0.004196854,0.02431297,0.03614422,0.02632361,0.6249319,0.2496941,0.0004311704],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3943361,0.02468403,0.2712522,0.01931959,0.0009578657,0.0004877346,0.0002099695,0.002107003,0.2866455],"genre_scores_gemma":[0.9535024,0.002780481,0.03199882,0.0008364893,0.0002708422,0.0002052894,0.00005442174,0.0001138403,0.01023731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00799056,"threshold_uncertainty_score":0.02240252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1420655918837872,"score_gpt":0.4017984797448775,"score_spread":0.2597328878610903,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}